Proceed with the steps as follows:
- You can click your model evaluation from the Amazon Machine Learning dashboard. After clicking, you should get a screen, as shown in the following screenshot. If you find a wrong result, you should modify the data and then create a model:
- You can scroll down to see the Predictions section. You can perform testing by clicking on the Try real-time predictions button:
- Then, you should have the Try real-time predictions screen. Now fill in the temperature and humidity values. After this, click on the Create prediction button. You should see a result in JSON format. A sample of program output can be seen in the following screenshot:
You have learned how to build a machine learning model and make a prediction. You can practice more by implementing AWS Lambda to consume AWS Machine Learning, so your application can consume this engine, for instance, Node.js, Python in computer or Raspberry Pi.